Research Article
[Retracted] Efficient Prediction of Missed Clinical Appointment Using Machine Learning
Table 8
Show-no-show RUS appointment prediction result evaluation by threshold discriminative metrics.
| Algorithm | Accuracy | Precision | Recall | F1-score |
| Random forest | 85.26% | 80% | 94% | 86% | Decision tree | 86.50% | 83% | 92% | 87% | Logistic regression | 64.77% | 65% | 65% | 65% | XG Boost | 79.12% | 78% | 81% | 79% | Gradient boosting | 75.69% | 76% | 76% | 76% | Adaboost | 71.90% | 74% | 67% | 70% | Naive Bayes | 65.37% | 65% | 68% | 66% | SGD | 60.96% | 58% | 83% | 68.18% | Multilayer perceptron | 63.61% | 59% | 88% | 71% | SVM | 68.58% | 68% | 71% | 69% |
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